Registration & Dates  » 
New York, USA, March 20 – March 22, 2023

Workshop Registration - Online:
We accept credit cards & purchase orders online.

Full-time students may register at the reduced fee. After you register, we'll send instructions to e-mail or fax proof of student status. This is required to complete registration.

  Rate Register
General Early Bird Rate:
Register by January 23, 2023
US$1,595 Not Available
Student Early Bird Rate:
Register by January 23, 2023
US$845 Not Available
General Standard Rate:
Register after January 23, 2023
US$1,895 Not Available
Student Standard Rate:
Register after January 23, 2023
US$995 Not Available
Day-1 Only:
Register Any Time
US$495 Not Available

Workshop Registration - Mail, Fax, or Phone:

  • Workshop Registration by Mail or Fax: Word | PDF
  • Workshop Registration by Phone:
    +1 (877)-Biostat (Toll Free in USA) or +1 (201) 541-5688

Hotel Reservations:

Meeting Dates and Times:

  • Day 1 – March 20, 2023
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 2 – March 21, 2023
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 3 – March 22, 2023
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 4:00 PM.

Cancellation Policy:
Full refund minus service fee listed below.
Refund will be made to the original payment method
and account used on the purchase.

  Service Fee
Cancel by February 20, 2023 US$100
Cancel by March 13, 2023 US$500
Cancel after March 13, 2023 No Refund*
*If you are ill, you can transfer the registration
to a later date at no cost.
researcher
Testimonials

"I really enjoy the flow of the workshop in terms of how the instructor introduced the basic concepts and then built upon that and introduced more appropriate models. I never used the CMA program before the workshop but I am very impressed by how friendly the program is based on my experience of the workshop."

Hsiang-Yeh Ho - McRel - Los Angeles 2019


"As a professor of statistics, I was unsure whether to take the initial online course in meta-analysis, thinking that it might either be too dense and jargon-filled to be interesting (given Dr. Borenstein’s impressive credentials and knowledge base) or too basic (given that I was already teaching a course). As I finish the series now, however, I am awestruck by the quality of this offering. Dr. Borenstein is quite simply a master teacher, so he offers complex material in a completely comprehensible form, the best of both worlds. I picked up details on the statistics, the use of CMA, and the theory behind the statistics, but I also (hopefully) will model the style and clarity of his teaching style in my own work in the future. I look forward to the intermediate and advanced sessions."

Constance J. Dalenberg, PhD - Alliant International University - Online Workshop

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